Full-Scale Testing of an E-Motor Cooling System

Automotive makers are facing increasing pressure to reduce greenhouse gas emissions and shift from the use of more conventional internal combustion engine vehicles to electric vehicles. Along with this shift comes a demand for on-board electronics that can operate at higher power densities, such as the electric motor. A less utilized, yet cheaper and more efficient e-motor type is a wound-field synchronous motor.

Direct Solution Processing of Fullerene C60 with Branched Polyethylene Towards Improved Organic Electronics - Year Two

Organic solar cells are promising sources of renewable energy, with the added benefit of mechanical flexibility making them particularly desirable for many applications compared to traditional silicon solar cells. However, high cost and low efficiency has thus far hindered the commercialization of organic devices, restricting their development to academic research labs.

Cannabinoid Formulation for Consumer Beverages

This project, a collaboration between Peak Processing Solutions of Windsor Ontario, and the Trant Team at the University of Windsor seeks to design new ways to incorporate cannabinoids, the active components of cannabis, into consumer products. Cannabinoids are not dissolvable in water, and so you need to mix them with little fat bubbles, rather like milk, to make sure they are evenly distributed.

Multiprong targeting with a combination of water-soluble CoQ10 and Ashwagandha extract to halt progression of Alzheimer-type neurodegeneration

The aim of the project is to develop a safe and nutraceutical-like formulation of UbisolQ10 (UQ), a unique water-soluble formula in combination with water-soluble Ashwagandha extract (AE), that can arrest the progression of Alzheimer’s Disease (AD). This novel formulation significantly increases bioavailability of CoQ10 and other compounds in the brain. This combinatorial treatment can target multiple mechanisms implicated in AD development including mitochondrial dysfunction, oxidative stress, inflammation and dysregulation of autophagy.

Learning-based Autonomous Robotic System for Package Sorting Application

With the advent of e-commerce and logistics industry, numerous goods are delivered every day. Sorting systems play a pivotal role in orders delivery practices. Advanced sorting systems are required nowadays because e-commerce retailers are usually confronted with different orders, each consisting of various items. Integrated sorting systems typically consist of a mix of conveyors tied together which are controlled by the Warehouse Management System (WMS). Traditional objects sorting lines rely on human operators to locate and pick each product by hand.

Blade Fragmentation modeling in hard-wall containment systems

According to the existing airworthiness standards, aircraft turbofan engine certification must demonstrate its ability to contain a fan blade should the blade accidentally separate under critical operating conditions. P&WC has established a full engine computational analysis process. In the continuing evolution of this modelling process, several areas requiring improvement have been identified as critical.

Inspection of Bridges in Ontario for Damage Detection and Rehabilitation

This Mitacs project will undertake bridge inspections of 33 road bridges in Ontario to determine locations and level of damages in these bridges and suggest appropriate rehabilitation techniques to keep these bridges in service. The data collected will be added to the current pool of similar data already collected by the industry partner, MEDA to develop an inhouse bridge inspection manual. This manual will allow MEDA to be more productive and have a competitive advantage for the future bridge inspection projects.

Faults Detection and Recovery in Automobile Engines Machining and Assembly Systems Using AI and Machine Learning

Ford is applying Industry 4.0 smart manufacturing technologies in its re-tooled and new plants in Canada. This project aims to research, in cooperation with Ford, intelligent methods for recognizing patterns of machines faults and their causes and develop recovery strategies based on artificial intelligence (AI) and Machine Learning (ML) using data analytics, neural networks, and deep learning methods. It will also investigate the contribution of workers-automation interactions to faults occurrence using data, and minimizing, and discovering possible correlations or trends.

Low Cost Eye-Tracking Data Analytic System for Vision Therapy

A significant percentage of children around the world are affected by vision problems, such as lazy eye, that cannot be fixed by eyeglasses. When left untreated, vision problems may lead to learning difficulties. Vision therapy offers treatment to many of these problems where eye-trackers are tools used to diagnose and measure the progress of patients undergoing vision therapy for these vision problems. However, vision therapy remains out of reach for many patients due to the cost of eye-tracking services.

Development of Environmentally Friendly Materials for 3D Concrete Printing

The construction industry is moving towards automation using 3D concrete printing (3DCP) technology. The 3DCP technology has many advantages including a positive impact on our environment. Current 3D printing material uses a large amount of Portland cement (PC) and natural resources (sand and crushed stones). These printing materials are environmentally harmful because the production of PC is responsible for about 8% of total CO2 emissions. Use of natural resources also creates CO2 emissions and depletion of our natural resources.

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